D. Schreurs
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PhD in RF Fingerprinting: Experiment Design and Modelling KU Leuven in Belgium
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Mar 30, 2026
Country
Belgium
University
KU Leuven

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About this position
The Division ESAT-WAVECORE at KU Leuven's Department of Electrical Engineering (ESAT) is seeking a highly qualified PhD candidate for research in RF fingerprinting, focusing on experiment design and modelling. The group is renowned for its multidisciplinary approach, covering electromagnetic theory, microwave and millimeter wave devices, circuits, and wireless communication systems. This position is supervised by Prof. D. Schreurs, an expert in microwave/mm-wave technologies with applications in biomedical diagnostics and wireless communications.
The research project aims to develop robust fingerprinting techniques for electronic devices by analyzing their responses to carefully designed high-frequency (microwave/mm-wave) excitations. These excitations not only elicit electrical responses but also trigger complex multi-physics behaviors, such as self-heating, which enrich the RF fingerprint and enable efficient device categorization. The work will involve both experimental and theoretical components, including the design and optimization of experiments and the assessment of various RF devices, such as GaN transistors.
Applicants should have a strong background in microwave engineering and machine learning, and must hold a MSc degree in Electrical Engineering or a closely related field. Candidates are expected to be among the top 10% of their class, demonstrate exceptional academic performance, and possess excellent communication and interpersonal skills. Fluency in English and the ability to work in an international, multidisciplinary team are essential. Prior experience with peer-reviewed publications is advantageous.
The successful candidate will receive a PhD scholarship for up to four years, contingent on positive intermediate evaluations. The research environment at KU Leuven is highly international and collaborative, offering opportunities for professional growth and interdisciplinary engagement. The university is committed to diversity, inclusion, and equal opportunity, and provides support for accessibility and other needs.
The application deadline is March 30, 2026. Interested candidates should apply online via the KU Leuven job portal. For further information or support regarding accessibility, applicants are encouraged to contact the university directly.
Funding details
Available
What's required
Applicants must hold a MSc degree in Electrical Engineering or an equivalent field, be ranked within the top 10% of their class in both MSc and BSc studies, and have exceptional grades. A background in microwave engineering and machine learning is required. Candidates should possess strong communication skills, fluency in English, and the ability to work effectively in an international team. Interest in both experimental and theoretical work is expected. Experience as a first author or co-author in internationally peer-reviewed publications is considered a plus.
How to apply
Apply online via the KU Leuven job portal using the provided application link. Prepare your CV, transcripts, and a motivation letter. Ensure you meet all eligibility criteria before submitting your application. Contact the university for accessibility or support questions if needed.
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